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On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis.

, , , , , , , , , , and . ICASSP, page 8447-8451. IEEE, (2022)

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Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing., , , , , , and . NeurIPS, (2022)Deep generative models for speech editing. University of Illinois Urbana-Champaign, USA, (2020)Monaural Singing Voice Separation Using Fusion-Net with Time-Frequency Masking., , , and . APSIPA, page 1239-1243. IEEE, (2019)Zero-Shot Voice Style Transfer with Only Autoencoder Loss., , , , and . CoRR, (2019)Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning., , , , and . CoRR, (2023)Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding., , , , , and . Interspeech, page 1304-1308. ISCA, (2021)ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning., , , , , , and . CoRR, (April 2025)Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition., , , , , , and . INTERSPEECH, page 461-465. ISCA, (2022)Speech Denoising with Auditory Models., , , , , and . Interspeech, page 2681-2685. ISCA, (2021)Deep Network Perceptual Losses for Speech Denoising., , , , , and . CoRR, (2020)